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<div class="title">pcl::DecisionTreeTrainer&lt; FeatureType, DataSet, LabelType, ExampleIndex, NodeType &gt; 成员列表</div>  </div>
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<p>成员的完整列表，这些成员属于 <a class="el" href="classpcl_1_1_decision_tree_trainer.html">pcl::DecisionTreeTrainer&lt; FeatureType, DataSet, LabelType, ExampleIndex, NodeType &gt;</a>,包括所有继承而来的类成员</p>
<table class="directory">
  <tr class="even"><td class="entry"><a class="el" href="classpcl_1_1_decision_tree_trainer.html#a0de4711386d78a29d58770b5fd785a9b">createThresholdsUniform</a>(const size_t num_of_thresholds, std::vector&lt; float &gt; &amp;values, std::vector&lt; float &gt; &amp;thresholds)</td><td class="entry"><a class="el" href="classpcl_1_1_decision_tree_trainer.html">pcl::DecisionTreeTrainer&lt; FeatureType, DataSet, LabelType, ExampleIndex, NodeType &gt;</a></td><td class="entry"><span class="mlabel">protected</span><span class="mlabel">static</span></td></tr>
  <tr><td class="entry"><a class="el" href="classpcl_1_1_decision_tree_trainer.html#a7fa0c3d3f6f233e3dc0ec6db86fadd18">data_set_</a></td><td class="entry"><a class="el" href="classpcl_1_1_decision_tree_trainer.html">pcl::DecisionTreeTrainer&lt; FeatureType, DataSet, LabelType, ExampleIndex, NodeType &gt;</a></td><td class="entry"><span class="mlabel">private</span></td></tr>
  <tr class="even"><td class="entry"><a class="el" href="classpcl_1_1_decision_tree_trainer.html#a29fd755841928ef5342dbf19e01ae028">decision_tree_trainer_data_provider_</a></td><td class="entry"><a class="el" href="classpcl_1_1_decision_tree_trainer.html">pcl::DecisionTreeTrainer&lt; FeatureType, DataSet, LabelType, ExampleIndex, NodeType &gt;</a></td><td class="entry"><span class="mlabel">private</span></td></tr>
  <tr><td class="entry"><a class="el" href="classpcl_1_1_decision_tree_trainer.html#afc74482ca84d3d91276c9f73e3e2abcf">DecisionTreeTrainer</a>()</td><td class="entry"><a class="el" href="classpcl_1_1_decision_tree_trainer.html">pcl::DecisionTreeTrainer&lt; FeatureType, DataSet, LabelType, ExampleIndex, NodeType &gt;</a></td><td class="entry"></td></tr>
  <tr class="even"><td class="entry"><a class="el" href="classpcl_1_1_decision_tree_trainer.html#a377137a6d21e986ab79802cd8d2d35e5">examples_</a></td><td class="entry"><a class="el" href="classpcl_1_1_decision_tree_trainer.html">pcl::DecisionTreeTrainer&lt; FeatureType, DataSet, LabelType, ExampleIndex, NodeType &gt;</a></td><td class="entry"><span class="mlabel">private</span></td></tr>
  <tr><td class="entry"><a class="el" href="classpcl_1_1_decision_tree_trainer.html#afca25306578c18cc5e6891d1fde37370">feature_handler_</a></td><td class="entry"><a class="el" href="classpcl_1_1_decision_tree_trainer.html">pcl::DecisionTreeTrainer&lt; FeatureType, DataSet, LabelType, ExampleIndex, NodeType &gt;</a></td><td class="entry"><span class="mlabel">private</span></td></tr>
  <tr class="even"><td class="entry"><a class="el" href="classpcl_1_1_decision_tree_trainer.html#a566006e8f96c21cd21b5030bfebdf77e">label_data_</a></td><td class="entry"><a class="el" href="classpcl_1_1_decision_tree_trainer.html">pcl::DecisionTreeTrainer&lt; FeatureType, DataSet, LabelType, ExampleIndex, NodeType &gt;</a></td><td class="entry"><span class="mlabel">private</span></td></tr>
  <tr><td class="entry"><a class="el" href="classpcl_1_1_decision_tree_trainer.html#ae52d59ebb69707299a041792b22f6c27">max_tree_depth_</a></td><td class="entry"><a class="el" href="classpcl_1_1_decision_tree_trainer.html">pcl::DecisionTreeTrainer&lt; FeatureType, DataSet, LabelType, ExampleIndex, NodeType &gt;</a></td><td class="entry"><span class="mlabel">private</span></td></tr>
  <tr class="even"><td class="entry"><a class="el" href="classpcl_1_1_decision_tree_trainer.html#abf5484a41b853b82f4e5399c7cd28127">min_examples_for_split_</a></td><td class="entry"><a class="el" href="classpcl_1_1_decision_tree_trainer.html">pcl::DecisionTreeTrainer&lt; FeatureType, DataSet, LabelType, ExampleIndex, NodeType &gt;</a></td><td class="entry"><span class="mlabel">private</span></td></tr>
  <tr><td class="entry"><a class="el" href="classpcl_1_1_decision_tree_trainer.html#a5b7857d6fcd89d964fa1b2ba07964ac0">num_of_features_</a></td><td class="entry"><a class="el" href="classpcl_1_1_decision_tree_trainer.html">pcl::DecisionTreeTrainer&lt; FeatureType, DataSet, LabelType, ExampleIndex, NodeType &gt;</a></td><td class="entry"><span class="mlabel">private</span></td></tr>
  <tr class="even"><td class="entry"><a class="el" href="classpcl_1_1_decision_tree_trainer.html#a30525d111a074464d9631b0ba900514f">num_of_thresholds_</a></td><td class="entry"><a class="el" href="classpcl_1_1_decision_tree_trainer.html">pcl::DecisionTreeTrainer&lt; FeatureType, DataSet, LabelType, ExampleIndex, NodeType &gt;</a></td><td class="entry"><span class="mlabel">private</span></td></tr>
  <tr><td class="entry"><a class="el" href="classpcl_1_1_decision_tree_trainer.html#a463ddc17542e98ef217d1454ac3250ae">random_features_at_split_node_</a></td><td class="entry"><a class="el" href="classpcl_1_1_decision_tree_trainer.html">pcl::DecisionTreeTrainer&lt; FeatureType, DataSet, LabelType, ExampleIndex, NodeType &gt;</a></td><td class="entry"><span class="mlabel">private</span></td></tr>
  <tr class="even"><td class="entry"><a class="el" href="classpcl_1_1_decision_tree_trainer.html#a60ffc9a571d7fa634dfdbb340e451c20">setDecisionTreeDataProvider</a>(boost::shared_ptr&lt; pcl::DecisionTreeTrainerDataProvider&lt; FeatureType, DataSet, LabelType, ExampleIndex, NodeType &gt; &gt; &amp;dtdp)</td><td class="entry"><a class="el" href="classpcl_1_1_decision_tree_trainer.html">pcl::DecisionTreeTrainer&lt; FeatureType, DataSet, LabelType, ExampleIndex, NodeType &gt;</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
  <tr><td class="entry"><a class="el" href="classpcl_1_1_decision_tree_trainer.html#adfa12496668f181e8128e657fdb0bb01">setExamples</a>(std::vector&lt; ExampleIndex &gt; &amp;examples)</td><td class="entry"><a class="el" href="classpcl_1_1_decision_tree_trainer.html">pcl::DecisionTreeTrainer&lt; FeatureType, DataSet, LabelType, ExampleIndex, NodeType &gt;</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
  <tr class="even"><td class="entry"><a class="el" href="classpcl_1_1_decision_tree_trainer.html#a92e70dbf0182027f707a137d3a9bf4bb">setFeatureHandler</a>(pcl::FeatureHandler&lt; FeatureType, DataSet, ExampleIndex &gt; &amp;feature_handler)</td><td class="entry"><a class="el" href="classpcl_1_1_decision_tree_trainer.html">pcl::DecisionTreeTrainer&lt; FeatureType, DataSet, LabelType, ExampleIndex, NodeType &gt;</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
  <tr><td class="entry"><a class="el" href="classpcl_1_1_decision_tree_trainer.html#add4301c8ebb4704365ca7e6c5293a7ff">setLabelData</a>(std::vector&lt; LabelType &gt; &amp;label_data)</td><td class="entry"><a class="el" href="classpcl_1_1_decision_tree_trainer.html">pcl::DecisionTreeTrainer&lt; FeatureType, DataSet, LabelType, ExampleIndex, NodeType &gt;</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
  <tr class="even"><td class="entry"><a class="el" href="classpcl_1_1_decision_tree_trainer.html#a90f7f50df5c6d7ccc58b6def6430e3a9">setMaxTreeDepth</a>(const size_t max_tree_depth)</td><td class="entry"><a class="el" href="classpcl_1_1_decision_tree_trainer.html">pcl::DecisionTreeTrainer&lt; FeatureType, DataSet, LabelType, ExampleIndex, NodeType &gt;</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
  <tr><td class="entry"><a class="el" href="classpcl_1_1_decision_tree_trainer.html#ae827187aa26efc229653ef2eda9153b4">setMinExamplesForSplit</a>(size_t n)</td><td class="entry"><a class="el" href="classpcl_1_1_decision_tree_trainer.html">pcl::DecisionTreeTrainer&lt; FeatureType, DataSet, LabelType, ExampleIndex, NodeType &gt;</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
  <tr class="even"><td class="entry"><a class="el" href="classpcl_1_1_decision_tree_trainer.html#a31b6a9b0ec5b627cf621776b63f70be7">setNumOfFeatures</a>(const size_t num_of_features)</td><td class="entry"><a class="el" href="classpcl_1_1_decision_tree_trainer.html">pcl::DecisionTreeTrainer&lt; FeatureType, DataSet, LabelType, ExampleIndex, NodeType &gt;</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
  <tr><td class="entry"><a class="el" href="classpcl_1_1_decision_tree_trainer.html#a47658b78a12f0f8dc1acb6f9974c7ec3">setNumOfThresholds</a>(const size_t num_of_threshold)</td><td class="entry"><a class="el" href="classpcl_1_1_decision_tree_trainer.html">pcl::DecisionTreeTrainer&lt; FeatureType, DataSet, LabelType, ExampleIndex, NodeType &gt;</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
  <tr class="even"><td class="entry"><a class="el" href="classpcl_1_1_decision_tree_trainer.html#a2038658c7d8bb5b237aab6b3047c607f">setRandomFeaturesAtSplitNode</a>(bool b)</td><td class="entry"><a class="el" href="classpcl_1_1_decision_tree_trainer.html">pcl::DecisionTreeTrainer&lt; FeatureType, DataSet, LabelType, ExampleIndex, NodeType &gt;</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
  <tr><td class="entry"><a class="el" href="classpcl_1_1_decision_tree_trainer.html#a4e8c427ba5b8efa0df8464eb5e7258a2">setStatsEstimator</a>(pcl::StatsEstimator&lt; LabelType, NodeType, DataSet, ExampleIndex &gt; &amp;stats_estimator)</td><td class="entry"><a class="el" href="classpcl_1_1_decision_tree_trainer.html">pcl::DecisionTreeTrainer&lt; FeatureType, DataSet, LabelType, ExampleIndex, NodeType &gt;</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
  <tr class="even"><td class="entry"><a class="el" href="classpcl_1_1_decision_tree_trainer.html#acf9dfd53b3ee6f9da23b608097ff9127">setThresholds</a>(std::vector&lt; float &gt; &amp;thres)</td><td class="entry"><a class="el" href="classpcl_1_1_decision_tree_trainer.html">pcl::DecisionTreeTrainer&lt; FeatureType, DataSet, LabelType, ExampleIndex, NodeType &gt;</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
  <tr><td class="entry"><a class="el" href="classpcl_1_1_decision_tree_trainer.html#aa84e9a077ade50a8f246c2d5c8ebb72e">setTrainingDataSet</a>(DataSet &amp;data_set)</td><td class="entry"><a class="el" href="classpcl_1_1_decision_tree_trainer.html">pcl::DecisionTreeTrainer&lt; FeatureType, DataSet, LabelType, ExampleIndex, NodeType &gt;</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
  <tr class="even"><td class="entry"><a class="el" href="classpcl_1_1_decision_tree_trainer.html#a02407f5bbd2950a55546f502a5773043">stats_estimator_</a></td><td class="entry"><a class="el" href="classpcl_1_1_decision_tree_trainer.html">pcl::DecisionTreeTrainer&lt; FeatureType, DataSet, LabelType, ExampleIndex, NodeType &gt;</a></td><td class="entry"><span class="mlabel">private</span></td></tr>
  <tr><td class="entry"><a class="el" href="classpcl_1_1_decision_tree_trainer.html#ad3d53bab672146cea68fd91e86a169fc">thresholds_</a></td><td class="entry"><a class="el" href="classpcl_1_1_decision_tree_trainer.html">pcl::DecisionTreeTrainer&lt; FeatureType, DataSet, LabelType, ExampleIndex, NodeType &gt;</a></td><td class="entry"><span class="mlabel">private</span></td></tr>
  <tr class="even"><td class="entry"><a class="el" href="classpcl_1_1_decision_tree_trainer.html#a85ce3f666e3381de8eb144ad8bdacf72">train</a>(DecisionTree&lt; NodeType &gt; &amp;tree)</td><td class="entry"><a class="el" href="classpcl_1_1_decision_tree_trainer.html">pcl::DecisionTreeTrainer&lt; FeatureType, DataSet, LabelType, ExampleIndex, NodeType &gt;</a></td><td class="entry"></td></tr>
  <tr><td class="entry"><a class="el" href="classpcl_1_1_decision_tree_trainer.html#a145e99edd94d717b5a3442fccff68513">trainDecisionTreeNode</a>(std::vector&lt; FeatureType &gt; &amp;features, std::vector&lt; ExampleIndex &gt; &amp;examples, std::vector&lt; LabelType &gt; &amp;label_data, size_t max_depth, NodeType &amp;node)</td><td class="entry"><a class="el" href="classpcl_1_1_decision_tree_trainer.html">pcl::DecisionTreeTrainer&lt; FeatureType, DataSet, LabelType, ExampleIndex, NodeType &gt;</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
  <tr class="even"><td class="entry"><a class="el" href="classpcl_1_1_decision_tree_trainer.html#acbd72a742afb50b77d39c325add78f11">~DecisionTreeTrainer</a>()</td><td class="entry"><a class="el" href="classpcl_1_1_decision_tree_trainer.html">pcl::DecisionTreeTrainer&lt; FeatureType, DataSet, LabelType, ExampleIndex, NodeType &gt;</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
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